Dependence Modeling
短名 | |
Journal Impact | 0.56 |
国际分区 | STATISTICS & PROBABILITY(Q4) |
ISSN | 2300-2298 |
h-index | 14 |
The journal Dependence Modeling aims at providing a medium for exchanging results and ideas in the area of multivariate dependence modeling. It is an open access fully peer-reviewed journal providing the readers with free, instant, and permanent access to all content worldwide. Dependence Modeling is listed by Web of Science (Emerging Sources Citation Index), Scopus, MathSciNet and Zentralblatt Math. The journal presents different types of articles: -"Research Articles" on fundamental theoretical aspects, as well as on significant applications in science, engineering, economics, finance, insurance and other fields. -"Review Articles" which present the existing literature on the specific topic from new perspectives. -"Interview articles" limited to two papers per year, covering interviews with milestone personalities in the field of Dependence Modeling. The journal topics include (but are not limited to): -Copula methods -Multivariate distributions -Estimation and goodness-of-fit tests -Measures of association -Quantitative risk management -Risk measures and stochastic orders -Time series -Environmental sciences -Computational methods and software -Extreme-value theory -Limit laws -Mass Transportations
期刊主页涉及主题 | 数学统计经济计算机科学计量经济学哲学机器学习语言学应用数学连接词(语言学)物理数学分析多元统计人工智能业务组合数学生物量子力学 |
出版信息 | 出版商: Walter de Gruyter GmbH,出版周期: ,期刊类型: journal |
基本数据 | 创刊年份: 2013,原创研究文献占比: 100.00%,自引率:0.00%, Gold OA占比: 100.00% |
平均审稿周期 | 网友分享经验:12 Weeks |
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